Shadow AI: the invisible risk growing in your company
Employees use AI tools without oversight, sending sensitive data to external servers. How do you regain control?
A recent study revealed that 75% of employees at large companies use generative AI tools without IT authorization. They copy customer data into ChatGPT, upload confidential documents to free tools, and share sensitive information with services they do not control.
This is called Shadow AI, and it is the modern equivalent of Shadow IT — but with exponentially greater risks.
The concrete risks
- Data leakage: confidential information processed on third-party servers without privacy agreements
- No traceability: no one knows what data was sent, when, or where
- Hidden costs: each team pays for its own subscriptions without global visibility
- Inconsistent results: each tool gives different answers, with no alignment to company knowledge
- Regulatory non-compliance: impossible to demonstrate compliance if you do not control the tools
The solution: centralize and govern
IMHOIT's CEREBELLUS centralizes agents, LLM providers, and workflows under a single panel. Each team works in its isolated domain, with knowledge validated by Guardians, controlled budgets, and full traceability. IT regains control without blocking productivity.
The key is not to ban AI — it is to govern it. Companies that centralize now will not only mitigate risks but also multiply the value they get from artificial intelligence.